PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET

Zacharie Irace; Anthonin Reilhac; Bruno Mendez De Vigo; Hadj Batatia; Nicolas Costes

doi:10.1109/NSSMIC.2016.8069439

PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET

Zacharie Irace, Anthonin Reilhac, Bruno Mendez De Vigo, Hadj Batatia, Nicolas Costes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The quality of the measurements obtained in Positron Emission Tomography (PET) is severely limited by partial volume effects (PVE). This study proposes a Partial Volume Correction (PVC) technique that considers the spatial variability of the system's Point Spread Function (PSF) across the Field Of View (FOV). The proposed PSF model uses Principal Component Analysis to express their variability according to a small number of components called eigen-PSF, forming an orthonormal basis. The interpolation of the coordinates of these PSFs in this created basis allows their precise estimation across the FOV of the system. The resulting image degradation model can be expressed as a weighted sum of convolutions that can be integrated efficiently into classical PVC algorithms. Initial results shows accurate PSF estimation as well as significant image restoration.

Original language	English
Title of host publication	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)
Publisher	IEEE
ISBN (Electronic)	9781509016426
DOIs	https://doi.org/10.1109/NSSMIC.2016.8069439
Publication status	Published - 19 Oct 2017
Event	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop - Strasbourg, France Duration: 29 Oct 2016 → 6 Nov 2016

Conference

Conference	2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop
Abbreviated title	NSS/MIC/RTSD 2016
Country/Territory	France
City	Strasbourg
Period	29/10/16 → 6/11/16

Keywords

Deconvolution
Partial Volume Effect
PET
Point Spread Function

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Instrumentation
Nuclear and High Energy Physics
Electronic, Optical and Magnetic Materials

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10.1109/NSSMIC.2016.8069439

Cite this

@inproceedings{231a43b7df3a409aa3eb62b4b2e53992,

title = "PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET",

abstract = "The quality of the measurements obtained in Positron Emission Tomography (PET) is severely limited by partial volume effects (PVE). This study proposes a Partial Volume Correction (PVC) technique that considers the spatial variability of the system's Point Spread Function (PSF) across the Field Of View (FOV). The proposed PSF model uses Principal Component Analysis to express their variability according to a small number of components called eigen-PSF, forming an orthonormal basis. The interpolation of the coordinates of these PSFs in this created basis allows their precise estimation across the FOV of the system. The resulting image degradation model can be expressed as a weighted sum of convolutions that can be integrated efficiently into classical PVC algorithms. Initial results shows accurate PSF estimation as well as significant image restoration.",

keywords = "Deconvolution, Partial Volume Effect, PET, Point Spread Function",

author = "Zacharie Irace and Anthonin Reilhac and {De Vigo}, {Bruno Mendez} and Hadj Batatia and Nicolas Costes",

year = "2017",

month = oct,

day = "19",

doi = "10.1109/NSSMIC.2016.8069439",

language = "English",

booktitle = "2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 ; Conference date: 29-10-2016 Through 06-11-2016",

}

Irace, Z, Reilhac, A, De Vigo, BM, Batatia, H & Costes, N 2017, PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET. in 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)., 8069439, IEEE, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, Strasbourg, France, 29/10/16. https://doi.org/10.1109/NSSMIC.2016.8069439

PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET. / Irace, Zacharie; Reilhac, Anthonin; De Vigo, Bruno Mendez et al.
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD). IEEE, 2017. 8069439.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET

AU - Irace, Zacharie

AU - Reilhac, Anthonin

AU - De Vigo, Bruno Mendez

AU - Batatia, Hadj

AU - Costes, Nicolas

PY - 2017/10/19

Y1 - 2017/10/19

N2 - The quality of the measurements obtained in Positron Emission Tomography (PET) is severely limited by partial volume effects (PVE). This study proposes a Partial Volume Correction (PVC) technique that considers the spatial variability of the system's Point Spread Function (PSF) across the Field Of View (FOV). The proposed PSF model uses Principal Component Analysis to express their variability according to a small number of components called eigen-PSF, forming an orthonormal basis. The interpolation of the coordinates of these PSFs in this created basis allows their precise estimation across the FOV of the system. The resulting image degradation model can be expressed as a weighted sum of convolutions that can be integrated efficiently into classical PVC algorithms. Initial results shows accurate PSF estimation as well as significant image restoration.

AB - The quality of the measurements obtained in Positron Emission Tomography (PET) is severely limited by partial volume effects (PVE). This study proposes a Partial Volume Correction (PVC) technique that considers the spatial variability of the system's Point Spread Function (PSF) across the Field Of View (FOV). The proposed PSF model uses Principal Component Analysis to express their variability according to a small number of components called eigen-PSF, forming an orthonormal basis. The interpolation of the coordinates of these PSFs in this created basis allows their precise estimation across the FOV of the system. The resulting image degradation model can be expressed as a weighted sum of convolutions that can be integrated efficiently into classical PVC algorithms. Initial results shows accurate PSF estimation as well as significant image restoration.

KW - Deconvolution

KW - Partial Volume Effect

KW - PET

KW - Point Spread Function

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M3 - Conference contribution

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BT - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

PB - IEEE

T2 - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop

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ER -

PCA-based Approach for Inhomogeneous PSF Estimation and partial volume correction in PET

Abstract

Conference

Keywords

ASJC Scopus subject areas

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